• 제목/요약/키워드: Adaptive Gain Factor

검색결과 21건 처리시간 0.02초

Optimum Array Processing with Variable Linear Constraint

  • Chang, Byong Kun
    • Journal of information and communication convergence engineering
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    • 제12권3호
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    • pp.140-144
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    • 2014
  • A general linearly constrained adaptive array is examined in the weight vector space to illustrate the array performance with respect to the gain factor. A narrowband linear adaptive array is implemented in a coherent signal environment. It is shown that the gain factor in the general linearly constrained adaptive array has an effect on the linear constraint gain of the conventional linearly constrained adaptive array. It is observed that a variation of the gain factor of the general linearly constrained adaptive array results in a variation of the distance between the constraint plane and the origin in the translated weight vector space. Simulation results are shown to demonstrate the effect of the gain factor on the nulling performance.

General Linearly Constrained Narrowband Adaptive Arrays in the Eigenvector Space

  • Chang, Byong Kun
    • Journal of information and communication convergence engineering
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    • 제15권3호
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    • pp.137-142
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    • 2017
  • A general linearly constrained narrowband adaptive array is examined in the eigenvector space. The optimum weight vector in the eigenvector space is shown to have the same performance as in the standard coordinate system, except that the input signal correlation matrix and look direction steering vector are replaced with the eigenvalue matrix and transformed steering vector. It is observed that the variation in gain factor results in the variation in the distance between the constraint plane and the origin in the translated weight vector space such that the increase in gain factor decreased the distance from the constraint plane to the origin, thus affecting the nulling performance. Simulation results showed that the general linearly constrained adaptive array performed better at an optimal gain factor compared with the conventional linearly constrained adaptive array in a coherent signal environment and the former showed similar performance as the latter in a noncoherent signal environment.

General Linearly Constrained Broadband Adaptive Arrays in the Eigenvector Space

  • Chang, Byong Kun
    • Journal of information and communication convergence engineering
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    • 제15권2호
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    • pp.73-78
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    • 2017
  • A general linearly constrained broadband adaptive array is examined in the eigenvector space with respect to the optimal weight vector and the adaptive algorithm. The optimal weight vector and the general adaptive algorithm in the eigenvector space are obtained by eigenvector matrix transformation. Their operations are shown to be the same as in the standard coordinate system except for the relevant transformed vectors and matrices. The nulling performance of the general linearly constrained broadband adaptive array depends on the gain factor such that the constraint plane is shifted perpendicularly to the origin by an increase in the gain factor. The general linearly constrained broadband adaptive array is observed to perform better than a conventional linearly constrained adaptive array in a coherent signal environment, while the former performs similarly to the latter in a non-coherent signal environment.

일반 선형제약 적응배열 (General linearly constrained adaptive arrays)

  • 장병건
    • 한국음향학회지
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    • 제36권3호
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    • pp.151-157
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    • 2017
  • 잡음신호제거 성능을 향상시키기 위하여 일반선형제약적응배열이 제안되었다. 잡음신호제거 성능이 배열계수 벡터공간에서 검토되었다. 제약면이 이득요소에 의하여 원점에 대하여 수직 방향으로 이동하는데 이득요소가 커지면 원점과의 거리는 감소하게 됨이 밝혀졌다. 따라서 이득요소의 변화가 계수벡터와 잡음신호 방향벡터와의 직교성의 정도에 영향을 주어서 일반선형제약적응배열의 잡음신호제거 성능이 이득요소에 의하여 향상되게 된다. 제안된 적응 배열은 최적의 이득요소 수치에서 간섭적인 신호환경에서는 기존의 선형제약적응배열에 비하여 더 나은 잡음신호제거 성능을 나타내고 비간섭적인 신호환경에서는 비슷한 잡음신호제거 성능을 나타냄이 관찰되었다.

Improved BP-NN Controller of PMSM for Speed Regulation

  • Feng, Li-Jia;Joung, Gyu-Bum
    • International journal of advanced smart convergence
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    • 제10권2호
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    • pp.175-186
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    • 2021
  • We have studied the speed regulation of the permanent magnet synchronous motor (PMSM) servo system in this paper. To optimize the PMSM servo system's speed-control performance with disturbances, a non-linear speed-control technique using a back-propagation neural network (BP-NN) algorithm forthe controller design of the PMSM speed loop is introduced. To solve the slow convergence speed and easy to fall into the local minimum problem of BP-NN, we develope an improved BP-NN control algorithm by limiting the range of neural network outputs of the proportional coefficient Kp, integral coefficient Ki of the controller, and add adaptive gain factor β, that is the internal gain correction ratio. Compared with the conventional PI control method, our improved BP-NN control algorithm makes the settling time faster without static error, overshoot or oscillation. Simulation comparisons have been made for our improved BP-NN control method and the conventional PI control method to verify the proposed method's effectiveness.

A Novel Approach to General Linearly Constrained Adaptive Arrays

  • Chang, Byong-Kun;Kim, Tae-Yeon;Lee, Yong-Kwon
    • Journal of information and communication convergence engineering
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    • 제10권2호
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    • pp.108-116
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    • 2012
  • A novel approach to general linearly constrained adaptive arrays is presented to improve the nulling performance in coherent and noncoherent environments. The narrowband and broadband linearly constrained adaptive arrays are implemented to examine the array performance. It is shown that the proposed approach performs better than the conventional adaptive arrays and the nulling performance depends on the gain factor for the desired response.

적응 변환코드를 이용한 영상신호 압축 (An Adaptive Transform Code for Images)

  • 김동윤;이경중;윤형로
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1991년도 추계학술대회
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    • pp.44-47
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    • 1991
  • There exists a transform trellis code that is optimal for stationary Gaussian sources and the squared-error distortion measure at all rates. In this paper, we train an asymptotically optimal version of such a code to obtain one which is matched better to the statistics of real world data. The training algorithm uses the M-algorithm to search the trellis codebook and the LBG-algorithm to update the trellis codebook. To adapt the codebook for the varying input data. we use two gain-adaptive methods. The gain-adaptive scheme 1, which normalizes input block data by its gain factor, is applied to images at rate 0.5 bits/pixel. When each block is encoded at the same rate, the nonstationarity among the block variances leads to a variation in the resulting distortion from one block to another. To alleviate the non-uniformity among the encoded image, we design four clusters from the block power, in which each cluster has its own trellis codebook and different rates. The rate of each cluster is assigned through requiring a constant distortion per-letter. This gain-adaptive scheme 2 produces good visual and measurable quality at low rates.

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Walsh변환에 의한 적응 잡음제거기의 설계 (A Design of Adaptive Noise Canceller via Walsh Transform)

  • 안두수;김종부;최승욱;이태표
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.758-760
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    • 1995
  • The purpose of noise cancellation is to estimating signals corrupted by additive noise or interference. In this paper, an adaptive noise canceller is built from a Walsh filter with a new adaptive algorithm. The Walsh filter consists of a Walsh function. Since the Walsh functions are either even or odd functions, the covariance matrix in the tap gain adjustment algorithm can be reduced to a simple form. In this paper, minimization of the mean squre error is accomplished by a proposed adaptive algorithm. The conventional adaptation techniques use a fixed time constant convergence factor by trial and error methods. In this paper, a convergence factor is obtained that is tailored for each adaptive filter coefficient and is updated at each block iteration.

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LMS 적응 필터 설계를 위한 고속 수렴 알고리즘에 관한 연구 (A Study on the Fast Converging Algorithm for LMS Adaptive Filter Design)

  • 신연기;이종각
    • 대한전자공학회논문지
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    • 제19권5호
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    • pp.12-19
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    • 1982
  • 현재까지의 적응 필터(adaptive filter)의 설계 방법을 대별하면 국부 파라미타 최적화(local parameter optimization)방법[1]과 안정성(stability)을 주한점으로 하는 방법[1-3] 의 두 가지로 된다. 그리고 이들 중에서 비교적 간단한 방법은 로칼 파라미터 최적화 방법으로서, 이것에서는 스티피스트-디샌트(steepest-descent)방법[15]을 이용하는 LMS 알고리즘을 대표적인 것으로 들 수 있다. 적응 필터의 설계에 있어서 가장 중요한 것은 수검 속도를 높이는 일이다. 본 논문은 적응 비순환 필터의 설계를 위한 고속 수검 알고리즘을 개발하는 문제에 관하여 연구한 것으로, 적응 이득(adaptation-gain)을 적절히 조정함으로써, 종래 사용되어 오던 LMS 알고리즘 및 그의 변형인 여러 알고리즘에 비하여 수검 속도를 높일 수 있으며 동시에 안정성이 높은 새로운 알고리즘을 제시하였다. 그리고 제안된 알고리즘을 이용한 적응 필터의 특성 배선 문제를 다각도로 검토하였다.

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태양광 시스템을 위한 가변 조정계수 기반의 적응형 MPPT 제어 기법 (An Adaptive Maximum Power Point Tracking Scheme Based on a Variable Scaling Factor for Photovoltaic Systems)

  • 이귀준;김래영;현동석;임춘호;김우철
    • 전력전자학회논문지
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    • 제17권5호
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    • pp.423-430
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    • 2012
  • An adaptive maximum power point tracking (MPPT) scheme employing a variable scaling factor is presented. A MPPT control loop was constructed analytically and the magnitude variation in the MPPT loop gain according to the operating point of the PV array was identified due to the nonlinear characteristics of the PV array output. To make the crossover frequency of the MPPT loop gain consistent, the variable scaling factor was determined using an approximate curve-fitted polynomial equation about linear expression of the error. Therefore, a desirable dynamic response and the stability of the MPPT scheme were maintained across the entire MPPT voltage range. The simulation and experimental results obtained from a 3 KW rated prototype demonstrated the effectiveness of the proposed MPPT scheme.